Lifeboat Foundation

Quantum cascade lasers are compact, electrically pumped light sources in the technologically important mid-infrared and terahertz region of the electromagnetic spectrum^1,2. Recently, the concept of topology³ has been expanded from condensed matter physics into photonics⁴, giving rise to a new type of lasing^5,6,7,8 using topologically protected photonic modes that can efficiently bypass corners and defects⁴. Previous demonstrations of topological lasers have required an external laser source for optical pumping and have operated in the conventional optical frequency regime^5,6,7,8. Here we demonstrate an electrically pumped terahertz quantum cascade laser based on topologically protected valley edge states^9,10,11. Unlike topological lasers that rely on large-scale features to impart topological protection, our compact design makes use of the valley degree of freedom in photonic crystals^10,11, analogous to two-dimensional gapped valleytronic materials¹². Lasing with regularly spaced emission peaks occurs in a sharp-cornered triangular cavity, even if perturbations are introduced into the underlying structure, owing to the existence of topologically protected valley edge states that circulate around the cavity without experiencing localization. We probe the properties of the topological lasing modes by adding different outcouplers to the topological cavity. The laser based on valley edge states may open routes to the practical use of topological protection in electrically driven laser sources.

At the center of our galaxy lies Sgr A — a supermassive black hole. With over 4 million times the Sun’s mass, you can see why it gets that moniker.

One reason we know its mass is that there’s a cluster of young, luminous stars orbiting around it. These are called S stars, and they form a group around the black hole about a quarter of a light year across — a few trillion kilometers. One of these stars, S2, has an elliptical orbit that takes it to a distance of just 16 billion kilometers from the black hole as it travels on its elliptical orbit. Until recently, that star had the closest encounter we knew of.

The idea is to use AI to develop a platform for detecting biomarkers from neural data. Then long-life neural interfaces (connections that allow computers to read and write neural data directly to and from the body) could be combined with a deep intelligence system trained to assess biomarkers directly from neural data.

If the AI platform is able to understand the “language” of the nervous system it could be used in closed-loop experiments to test neuromodulation therapy on new targets. This could accelerate the development of treatments for a number of chronic conditions and would also be a big step closer to real-world clinical applications of AI within the body. This progress could create a new way to investigate medical conditions, accelerate the detection of neural biomarkers, and open the door to a new generation of AI-based neural medical procedures.

NeuroTech is one of the most promising areas of BioTech. In the last 20 years private capital funds invested more than $19 billion in the sector, and annual growth of investment in the sector is 31%. Some NeuroTech subsectors are already well-established with practical implementations and products on the market. Over the next several years, many early-stage startups will evolve into mature companies and bring new NeuroTech products to market. Advances in AI and increased integration of computers and biology could lead to improved brain health for people all over the world.

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Betelgeuse has been very volatile lately, and astronomers are watching to determine if it’s terminal or just going through a phase.

DNA is essentially a storage molecule. It contains all of the instructions a cell needs to sustain itself. These instructions are found within genes, which are sections of DNA made up of specific sequences of nucleotides. In order to be implemented, the instructions contained within genes must be expressed, or copied into a form that can be used by cells to produce the proteins needed to support life.

The instructions stored within DNA are read and processed by a cell in two steps: transcription and translation. Each of these steps is a separate biochemical process involving multiple molecules. During transcription, a portion of the cell’s DNA serves as a template for creation of an RNA molecule. (RNA, or ribonucleic acid, is chemically similar to DNA, except for three main differences described later on in this concept page.) In some cases, the newly created RNA molecule is itself a finished product, and it serves an important function within the cell. In other cases, the RNA molecule carries messages from the DNA to other parts of the cell for processing. Most often, this information is used to manufacture proteins. The specific type of RNA that carries the information stored in DNA to other areas of the cell is called messenger RNA, or mRNA.

Researchers were able to demonstrate ‘spooky’ process happening at much bigger distances than ever before.

But the entanglement takes longer than the memory holds its state.

Georgia Tech Research Institute (GTRI) is looking into ways to speed up DNA-based cold storage in a $25m Scalable Molecular Archival Software and Hardware (SMASH) project.

DNA is a biopolymer molecule composed from two chains in a double helix formation, and carrying genetic information. The chains are made up from nucleotides containing one of four nucleobases; cytosine ©, guanine (G), adenine (A) and thymine (T). Both chains carry the same data, which is encoded into sequences of the four nucleobases.

GTRI senior research scientist Nicholas Guise said in a quote that DNA storage is “so compact that a practical DNA archive could store an exabyte of data, equivalent to a million terabyte hard drives, in a volume about the size of a sugar cube.”